Quantization Theory

Quantization Theory involves converting continuous signals—like audio or images—into discrete values for digital representation. This process approximates the original data by mapping a range of input values to specific output levels, which reduces data size and simplifies storage or transmission. While this introduces some approximation errors, careful design ensures minimal loss of quality. Quantization is fundamental in digital signal processing, enabling efficient encoding, compression, and processing of real-world signals for computers and communication systems.